• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
  • 法律状态
  • 优先权
    • 专利摘要:
    The invention relates to a method for predicting the speed of a driver at the wheel of a vehicle, comprising the following steps: - the speed of the driver is measured on a first driving zone, - this measured speed is compared with a set of speed profiles, each profile corresponding to a predetermined class of drivers, - depending on the result of this comparison, the relevant category for the driver of the vehicle is selected, and - the speed of the driver is predicted over a second driving zone in function of the reference profile of the selected category. The invention also relates to a method for determining speed profiles for a prediction method according to the invention.
    公开号:FR3029878A1
    申请号:FR1462495
    申请日:2014-12-16
    公开日:2016-06-17
    发明作者:Marc Duvernier；Benoit Gandar；Clement Petit；Denis Martin
    申请人:Michelin Recherche et Technique SA Switzerland ；Compagnie Generale des Etablissements Michelin SCA；Michelin Recherche et Technique SA France；
    IPC主号:
    专利说明:

    [0001] FIELD OF THE INVENTION [0001] The present invention relates to the prediction of speed of a driver driving a vehicle on a driving zone. This invention applies in particular in the field of motor vehicles. [0002] Motor vehicles are today equipped with numerous equipment to improve the safety of the driver and passengers of a vehicle. Thus known brake assist systems (ABS) to prevent wheel lock in case of intense braking. Also known electronic trajectory correctors (ESP), which allow, by a control of the trajectory, to avoid slippage of vehicles. The development of these systems has been made possible by the installation of many electronic devices in vehicles, and the implementation of electronic computers increasingly powerful, for embedding large computing power in vehicles automobiles without additional bulk. In addition, it is known that one of the most common causes of accidents on the roads is a vehicle speed too important, or unsuitable. Speed control systems or speed limiters allow a driver to set a maximum speed that should not be exceeded. However, such systems do not adapt, and if they prevent driving at too great speeds, they can not guarantee that the driver is driving at a suitable speed, for example in driving areas or situations particular driving modes, such as turning zones. In addition, the governors or speed limiters are controlled by the driver, which itself sets a maximum speed, without necessarily being aware of its driving profile with respect to a path to be completed. Also known from US Patent 8,478,499, a method for predicting a vehicle speed based on a speed history. However, it has been found that this method sometimes provides a prediction that is not very suitable for the driver of the vehicle. The present invention seeks to overcome these disadvantages by providing a speed prediction method that is both adapted to the driver of the vehicle and a driving zone on which the vehicle will move. The present invention also provides a method for previously determining driver categories and reference profiles associated with these categories. P1 0-3508_EN 3029878 - 2 - BRIEF DESCRIPTION OF THE INVENTION [0007] Thus, the invention relates to a method for predicting the speed of a driver at the wheel of a vehicle, comprising the following steps: the speed of the driver on a first driving zone, - this measured speed is compared with a set of speed profiles, each profile corresponding to a predetermined class of drivers, - depending on the result of this comparison, the relevant category is selected. the driver of the vehicle, and the driver's speed is predicted over a second driving zone according to the reference profile of the selected category. The method for the prior definition of a number of categories of drivers will be detailed later. [0009] In the remainder of the description, the terms "classify" and "categorize" will be used interchangeably. In the same way, the terms "category" or "profile" will sometimes be used interchangeably, since a category of drivers corresponds to a single reference profile. In a preferred embodiment, the invention relates to a prediction method further comprising the following steps: a distance of the driver profile is determined to the reference profile of the selected category, and the predicted speed is corrected by function of this distance. In a preferred embodiment, the prediction method is such that, in addition to the speed of the driver, the acceleration of the driver is measured on the first driving zone, and this acceleration measurement is used to select the relevant class of drivers. In a preferred embodiment, the step of predicting the speed consists in assigning to the driver the average speed of the selected category on the second driving zone, or on a driving zone having similarities with the approximate driving zone. by the vehicle. In a preferred embodiment, the prediction method further comprises the step of correcting the predicted speed as a function of external parameters. These parameters are, for example, included in the group comprising: meteorological parameters, parameters relating to the state of the road, parameters relating to car traffic and parameters relating to the vehicle. In a preferred embodiment, the prediction method comprises a step of transmitting the predicted speed to a driver assistance device installed on the vehicle. By driver assistance device is meant for example a device of the type "adaptive cruise control". In another preferred embodiment, the prediction method comprises a step of transmitting the predicted speed to an audible and / or visual display and / or warning device available to the driver of the vehicle. The invention also relates to a method for determining speed profiles for a speed determination method, in which the method comprises the following steps: data representative of the driving speed of a vehicle are acquired; predetermined group of drivers on a predefined driving zone, each driver being considered as an individual, hierarchical classification of the individuals to be divided into a defined number of classes according to the data, and a profile speed for each class thus determined. In an advantageous embodiment, the hierarchical classification used is a hierarchical ascending classification, or CAH. It is specified here that the steps for categorizing individuals into a predetermined number of categories can be used independently of the present invention. Indeed, one can consider using the categorization of individuals to, for example, perform the marketing of services based on an individual profile. In a preferred embodiment, the hierarchical classification is performed using only a portion of the data, the data being selected from the observations made on predetermined relevant driving zones.
    [0002] DETAILED DESCRIPTION OF THE INVENTION Determination of Conductor Categories [0020] As previously described, for determining categories of conductors, the speed of a certain number of same route, and a hierarchical classification is made on all available observations. It is specified here that the variables are recorded with a frequency specific to the recording means. These 10 variables are not statistically considered as continuous curves, but as a set of point observations. Thus, each individual is associated with a set of observations for each of these passages. The principle of this classification is, using a concept of adequate distance, to group the users in classes, each as homogeneous as possible and between them the 15 most distinct possible. In an exemplary embodiment, the classes are such that the intra-class variance is minimized, while the intergroup variance is maximized. Advantageously, to perform the classification, the speed of an individual is recorded during several passages on the same course, each passage giving rise to a set of observations. To define the distance between two users, the distance between the reference speeds of each of these users is calculated. Once the classes are determined, we determine the average speed of each class, also called profile speed. In such a hierarchical classification, the number of classes used is chosen a posteriori, and is considered adequate if the interclass variance does not decrease significantly by adding a class. Thus, in an exemplary embodiment of the present invention, it has been envisaged to use six classes, to minimize the interclass variance. However, it has been found that equally relevant results are obtained with four classes. This number of four classes is therefore preferentially chosen, for reasons of parsimony. This makes it possible to reduce the calculation power and the calculation times required. Still for the sake of parsimony, in one exemplary embodiment, the categories are determined using not all the available observations, but only a part of these observations. SUMMARY OF THE INVENTION For example, observations on relevant driving areas, such as turns or areas of high acceleration, will be chosen. The relevant driving zones are for example determined by mapping the driving zone, or by a vehicle behavior during a passage on these zones, the behavior being for example analyzed in view of a speed and / or vehicle acceleration on these areas. Reference speed of an individual: [0028] The reference speed used for the classification can be chosen in different ways. Thus, in one example, the reference speed is the median speed among the different passage speeds of a user. In another example, we choose an artificial reference called "75% speed". This speed is determined by taking, on each observation, the 3rd quartile of the speed of a user on each of these passages. Classification of an individual into a category: [0030] To classify a new individual, not yet considered, in one of the categories 20 determined as mentioned above, the distance between the reference speed of this new individual and the speed is determined. profile of each class. We then classify the individual in the class for which this distance is the smallest. For this classification to be carried out in a relevant manner, it is useful that the compared speeds have been determined on similar driving zones, or having common characteristics. Thus in one example, the reference speed of the individual is determined on a path declared beforehand by the individual. To know the characteristics of this path, one can for example enrich the process by the use of cartographic data. In another example, the reference speed of the individual is determined on a set of predefined characteristic zones. A characteristic zone is, for example: a curve having a certain radius of curvature, a zone of sudden acceleration, a steep slope.
    [0003] Prediction of an Individual's Speed: [0034] Once the individual has been classified into a certain category, it is possible to predict his speed over a future driving zone, using the speed profile of that category. . To this end, the speed is predicted at each time unit taking into account the categories and assigning to each driver the speed profile of the category. By speed profile is meant a statistically determined speed, included in the group comprising - the average speed of individuals of a category, the median speeds of individuals of a category, a quantile of any order of the distribution speeds of individuals of a category or other statistical estimator representative of the speeds of all individuals of a category. In an advantageous embodiment, the step of predicting the speed of the driver on a second driving zone consists in predicting the speed in a number of finite points of the second driving zone, and in making an approximation between these points.
    [0004] Thus, for example, speed is predicted only in certain specific areas, where the speed varies greatly, and an approximation is made between these areas. Such an embodiment makes it possible to reduce the calculation power used for the prediction. It is specified here that the choice of points is made according to speed variations, and therefore does not necessarily have a regular distribution on the driving zone. Advantageously, the speed thus predicted is corrected as a function of external parameters, such as, for example, the maximum speed legally permitted on the driving zone, meteorological data, data relating to the driving floor, Such as, for example, information concerning a locally reduced level of adhesion. In another embodiment, the predicted rate is corrected by using a statistically observed sub-behavior of that individual. on characteristic areas, such as turns. In yet another example, the predicted speed is corrected by using the distance of the individual to the average of his class. Indeed, although the categorization of individuals allows a relatively relevant prediction, this prediction can be refined, especially for individuals at the end of each category. Implementation of a Method According to the Invention In an exemplary embodiment, a method according to the invention is concretely implemented as follows: The reference profiles are initially downloaded into an on-board memory on a vehicle, 15 - When a driver installs at the wheel, we check in memory if it has already been categorized in one of the existing profiles, - If the driver is not categorized, we implement the steps to assign a category to it, - the profile thus determined is stored in memory, and 20 - The speed is predicted according to this reference profile. In one embodiment, the implementation of the method may comprise a category change step of an individual, if the records on the beginning of a path show too great a dispersion with respect to a category determined at prior. In another embodiment, the driver profile is not stored on a vehicle memory, but on a remote database. In this case, the vehicle retrieves information from this database when an individual moves behind the wheel via telecommunications means installed on the vehicle. P1 0-3508_EN
    权利要求:
    Claims (11)
    [0001]
    REVENDICATIONS1. A method of predicting the speed of a driver while driving a vehicle, comprising the following steps: - the speed of the driver is measured on a first driving zone, - this measured speed is compared with a set of speed profiles, each profile corresponding to a predetermined class of drivers, depending on the result of this comparison, the relevant category for the driver of the vehicle is selected, and - the speed of the driver is predicted over a second driving zone according to the reference profile of the driver. the selected category.
    [0002]
    The prediction method according to claim 1, further comprising the steps of: determining a distance from the driver profile to the reference profile of the selected category, and correcting the predicted speed based on that distance.
    [0003]
    A prediction method according to claim 1 or 2, wherein, in addition to the speed of the driver, the acceleration of the driver on the first driving zone is measured, and this acceleration measurement is used to select the category of drivers. relevant.
    [0004]
    4. Prediction method according to one of the preceding claims wherein the step of predicting the speed is to affect the profile speed of the selected category on the second driving zone.
    [0005]
    A prediction method according to one of the preceding claims, wherein the step of predicting the speed of the driver over a second driving zone is to predict the speed in a finite number of points of the second driving zone, and to make an approximation between these points.
    [0006]
    6. Prediction method according to one of the preceding claims, comprising the step of correcting the predicted speed as a function of external parameters. P1 0-3508EN 3029878 - 9 -
    [0007]
    The prediction method according to claim 5, wherein the outside parameters are included in the group comprising: meteorological parameters, road condition parameters, car traffic parameters, vehicle parameters. 5
    [0008]
    8. A prediction method according to one of the preceding claims, comprising a step of transmitting the predicted speed to a driver assistance device installed on the vehicle.
    [0009]
    9. A prediction method according to one of the preceding claims, comprising a step of transmitting the predicted speed to a display device and / or alert available to the driver of the vehicle.
    [0010]
    A method of determining velocity profiles for a velocity prediction method according to one of the preceding claims, wherein the method comprises the following steps: data representative of the driving speed of a vehicle are acquired; group of drivers on a predefined driving zone, each driver being considered as an individual, and a hierarchical classification of the individuals to be divided into a number of classes defined according to the data, a profile speed for each class is determined thus determined.
    [0011]
    The method of determining velocity profiles according to claim 10, wherein the hierarchical classification is performed using only a portion of the data, the data being selected from observations made on predetermined relevant driving areas. P10-3508_FR
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    同族专利:
    公开号 | 公开日
    FR3029878B1|2017-01-13|
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    引用文献:
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    法律状态:
    2015-12-21| PLFP| Fee payment|Year of fee payment: 2 |
    2016-06-17| PLSC| Publication of the preliminary search report|Effective date: 20160617 |
    2016-12-22| PLFP| Fee payment|Year of fee payment: 3 |
    2017-12-21| PLFP| Fee payment|Year of fee payment: 4 |
    2019-09-27| ST| Notification of lapse|Effective date: 20190906 |
    优先权:
    申请号 | 申请日 | 专利标题
    FR1462495A|FR3029878B1|2014-12-16|2014-12-16|METHOD FOR PREDICTING THE SPEED OF A DRIVER AT THE STEERING WHEEL OF A VEHICLE|FR1462495A| FR3029878B1|2014-12-16|2014-12-16|METHOD FOR PREDICTING THE SPEED OF A DRIVER AT THE STEERING WHEEL OF A VEHICLE|
    CN201580069049.5A| CN107438547B|2014-12-16|2015-12-16|Method for predicting the speed of a driver driving a vehicle|
    PCT/EP2015/080070| WO2016097037A1|2014-12-16|2015-12-16|Method for predicting the speed of a driver driving a vehicle|
    US15/534,786| US20170341659A1|2014-12-16|2015-12-16|Method for predicting the speed of a driver driving a vehicle|
    EP15820086.5A| EP3233602A1|2014-12-16|2015-12-16|Method for predicting the speed of a driver driving a vehicle|
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